Transcription of Recurrent Attention Network on Memory for Aspect …
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Recurrent Attention Network on Memory for Aspect …
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 452 461 Copenhagen, Denmark, September 7 11, 2017 Association for Computational LinguisticsRecurrent Attention Network on Memory for Aspect sentiment AnalysisPeng Chen Zhongqian Sun Lidong Bing Wei YangAI LabTencent Inc.{patchen, sallensun, lyndonbing, propose a novel framework based onneural networks to identify the sentimentof opinion targets in a framework adopts multiple-attentionmechanism to capture sentiment featuresseparated by a long distance, so that itis more robust against irrelevant informa-tion. The results of multiple attentionsare non-linearly combined with a recur-rent neural Network , which strengthens theexpressive power of our model for han-dling more complications. The weighted- Memory mechanism not only helps usavoid the labor-intensive feature engineer-ing work, but also provides a tailor-madememory for different opinion targets of asentence.}
tic analysis (Socher et al.,2010) and sentence sen-timent analysis (Socher et al.,2013). (Dong et al., 2014;Nguyen and Shirai,2015) adopted Rec-NN for aspect sentiment classication, by converting the opinion target as the tree root and propagating the sentiment of targets depending on the context and syntactic relationships between them. How-
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